Papers with Code 아카이브
Fake Image Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 0
- 보존된 평가 기록
- 0
<span style="color:grey; opacity: 0.6">( Image credit: FaceForensics++ )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/DariusAf/MesoNet
공식 코드https://github.com/aimagelab/COCOFake
공식 코드Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images
https://github.com/aimagelab/unveiling-the-truth
공식 코드Unveiling the Truth: Exploring Human Gaze Patterns in Fake Images
https://github.com/hichoe95/Artifact-Detection-and-Sequential-Ablation
공식 코드Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks?
https://github.com/ictmcg/dna-det
공식 코드https://github.com/k8xu/imageattribution
공식 코드Detecting Origin Attribution for Text-to-Image Diffusion Models
https://github.com/liuzhengzhe/Global_Texture_Enhancement_for_Fake_Face_Detection_in_the-Wild
공식 코드Global Texture Enhancement for Fake Face Detection in the Wild
https://github.com/mamadou-keita/fidavl
공식 코드FIDAVL: Fake Image Detection and Attribution using Vision-Language Model
https://github.com/ondyari/FaceForensics
공식 코드FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/polimi-ispl/icpr-benford-gan
공식 코드https://github.com/polimi-ispl/icpr2020dfdc
공식 코드https://github.com/qwertyforce/Detect_LDM_By_Detecting_VAE
공식 코드Detecting AutoEncoder is Enough to Catch LDM Generated Images
https://github.com/scu-zjz/forensichub
공식 코드ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization
https://github.com/yixuan423/fakebench
공식 코드FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models
https://github.com/AniSundar18/AlignedForensics
On the Effectiveness of Dataset Alignment for Fake Image Detection
https://github.com/Baukebrenninkmeijer/HackGAN
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/DataScienceNigeria/Fake-Detection-dataset-for-deepfake-from-Google-and-Jigsaw
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/FaceOnLive/DeepFake-Detection-SDK-Linux
https://github.com/HongguLiu/MesoNet.Pytorch
https://github.com/MalayAgarwal-Lee/MesoNet-DeepFakeDetection
https://github.com/Raj-08/Deepfake-Detection-Mesonet
https://github.com/Recognito-Vision/Linux-FaceRecognition-FaceLivenessDetection
https://github.com/SuyashSonawane/fakedetector
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/aimagelab/elsa_coco-fake
Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images
https://github.com/flynn-chen/faceforensics_benchmark
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/hyhchaos/FakePolisher
FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction
https://github.com/jesse1029/Fake-Face-Images-Detection-Tensorflow
https://github.com/jhchang/DFDC
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/maragori/DeepfakeForensics-v1
https://github.com/pothabattulasantosh/Detection-of-face-Manipulated-videos
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/pothabattulasantosh/Detection-of-facial-Manipulated-videos
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/seongilp/DFE604-2020F-FinalProject
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/shiming-chen/CDE-GAN
CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network
https://github.com/tamlhp/dfd_benchmark
https://github.com/twyunting/Deepfake_Video_Classifier
FaceForensics++: Learning to Detect Manipulated Facial Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.